Data report overview
The dataset examined has the following dimensions:
| Number of observations |
387 |
| Number of variables |
116 |
Variable list
t0_code
| Variable type |
integer |
| Number of missing obs. |
0 (0 %) |
| Number of unique values |
387 |
| Median |
194 |
| 1st and 3rd quartiles |
97.5; 290.5 |
| Min. and max. |
1; 388 |
t0_recr_wave
| Variable type |
factor |
| Number of missing obs. |
0 (0 %) |
| Number of unique values |
2 |
| Mode |
“1” |
| Reference category |
1 |
- Observed factor levels: "1", "2".
t0_tx
| Variable type |
integer |
| Number of missing obs. |
0 (0 %) |
| Number of unique values |
2 |
| Median |
0 |
| 1st and 3rd quartiles |
0; 1 |
| Min. and max. |
0; 1 |
t0_treat_rec
| Variable type |
integer |
| Number of missing obs. |
0 (0 %) |
| Number of unique values |
3 |
| Median |
0 |
| 1st and 3rd quartiles |
0; 1 |
| Min. and max. |
0; 2 |
group
| Variable type |
integer |
| Number of missing obs. |
0 (0 %) |
| Number of unique values |
4 |
| Median |
1 |
| 1st and 3rd quartiles |
0; 2 |
| Min. and max. |
0; 3 |
t0_provider
Undergraduate psychology student who provided the participant’s
PFA-ABCDE intervention.
| Variable type |
factor |
| Number of missing obs. |
0 (0 %) |
| Number of unique values |
20 |
| Mode |
“12” |
| Reference category |
0 |
- Observed factor levels: "0", "1", "10", "11", "12", "13", "14",
"15", "16", "17", "18", "19", "2", "20", "3", "5", "6", "7", "8",
"9".
t0_hospital
| Variable type |
integer |
| Number of missing obs. |
0 (0 %) |
| Number of unique values |
5 |
| Median |
1 |
| 1st and 3rd quartiles |
1; 2 |
| Min. and max. |
1; 5 |
t0_recuit_date
| Variable type |
character |
| Number of missing obs. |
0 (0 %) |
| Number of unique values |
79 |
| Mode |
“1/20/2016” |
- Observed factor levels: "1/11/2016", "1/13/2016", "1/14/2016",
"1/15/2016", "1/16/2016", "1/18/2016", "1/19/2016", "1/2/2016",
"1/20/2016", "1/21/2016", "1/22/2016", "1/23/2016", "1/24/2016",
"1/25/2016", "1/26/2016", "1/27/2016", "1/28/2016", "1/29/2016",
"1/30/2016", "1/31/2016", "1/6/2016", "1/7/2016", "1/8/2016",
"11/16/2015", "11/6/2015", "11/7/2015", "11/8/2015", "12/1/2015",
"12/11/2015", "12/12/2015", "12/13/2015", "12/14/2015", "12/16/2015",
"12/17/2015", "12/18/2015", "12/19/2015", "12/2/2015", "12/21/2015",
"12/22/2015", "12/23/2015", "12/26/2015", "12/28/2015", "12/29/2015",
"12/5/2015", "12/7/2015", "12/8/2015", "12/9/2015", "6/12/2017",
"6/13/2017", "6/14/2017", "6/15/2017", "6/16/2017", "6/17/2017",
"6/19/2017", "6/20/2017", "6/22/2017", "6/23/2017", "6/27/2017",
"6/28/2017", "6/29/2017", "6/30/2017", "7/10/2017", "7/11/2017",
"7/12/2017", "7/13/2017", "7/14/2017", "7/17/2017", "7/18/2017",
"7/19/2017", "7/20/2017", "7/21/2017", "7/25/2017", "7/27/2017",
"7/28/2017", "7/3/2017", "7/4/2017", "7/5/2017", "7/6/2017",
"7/7/2017".
t0_trauma_type
| Variable type |
integer |
| Number of missing obs. |
5 (1.29 %) |
| Number of unique values |
8 |
| Median |
3 |
| 1st and 3rd quartiles |
3; 6 |
| Min. and max. |
1; 10 |
t0_tx_int
| Variable type |
integer |
| Number of missing obs. |
5 (1.29 %) |
| Number of unique values |
2 |
| Median |
0 |
| 1st and 3rd quartiles |
0; 0 |
| Min. and max. |
0; 1 |
t0_sex
Specifies recruitment wave .
| Variable type |
factor |
| Number of missing obs. |
0 (0 %) |
| Number of unique values |
2 |
| Mode |
“2” |
| Reference category |
1 |
- Observed factor levels: "1", "2".
t0_age
| Variable type |
integer |
| Number of missing obs. |
11 (2.84 %) |
| Number of unique values |
65 |
| Median |
46 |
| 1st and 3rd quartiles |
33; 56 |
| Min. and max. |
18; 86 |
t0_heart_rate
| Variable type |
integer |
| Number of missing obs. |
276 (71.32 %) |
| Number of unique values |
53 |
| Median |
80 |
| 1st and 3rd quartiles |
72; 96 |
| Min. and max. |
51; 142 |
t0_syst_blood_pr
| Variable type |
integer |
| Number of missing obs. |
276 (71.32 %) |
| Number of unique values |
66 |
| Median |
133 |
| 1st and 3rd quartiles |
119; 150.5 |
| Min. and max. |
85; 199 |
t0_diast_blood_pr
| Variable type |
integer |
| Number of missing obs. |
276 (71.32 %) |
| Number of unique values |
50 |
| Median |
79 |
| 1st and 3rd quartiles |
68; 86 |
| Min. and max. |
37; 129 |
t0_resp_rate
- The variable only takes one (non-missing) value: "22". The variable
contains 99.74 % missing observations.
t0_body_temp
| Variable type |
numeric |
| Number of missing obs. |
317 (81.91 %) |
| Number of unique values |
10 |
| Median |
36 |
| 1st and 3rd quartiles |
36; 36.2 |
| Min. and max. |
36; 37 |
t0_perspective
| Variable type |
integer |
| Number of missing obs. |
224 (57.88 %) |
| Number of unique values |
2 |
| Median |
1 |
| 1st and 3rd quartiles |
1; 2 |
| Min. and max. |
1; 2 |
t0_int_delay
| Variable type |
integer |
| Number of missing obs. |
224 (57.88 %) |
| Number of unique values |
35 |
| Median |
6 |
| 1st and 3rd quartiles |
3; 17 |
| Min. and max. |
1; 72 |
t0_acquaintance
| Variable type |
integer |
| Number of missing obs. |
286 (73.9 %) |
| Number of unique values |
2 |
| Median |
1 |
| 1st and 3rd quartiles |
0; 1 |
| Min. and max. |
0; 1 |
t0_who_acquaint
| Variable type |
integer |
| Number of missing obs. |
318 (82.17 %) |
| Number of unique values |
5 |
| Median |
2 |
| 1st and 3rd quartiles |
1; 4 |
| Min. and max. |
1; 5 |
t0_slept_since
| Variable type |
integer |
| Number of missing obs. |
289 (74.68 %) |
| Number of unique values |
2 |
| Median |
0 |
| 1st and 3rd quartiles |
0; 1 |
| Min. and max. |
0; 1 |
t0_time_slept
| Variable type |
integer |
| Number of missing obs. |
358 (92.51 %) |
| Number of unique values |
5 |
| Median |
3 |
| 1st and 3rd quartiles |
2; 5 |
| Min. and max. |
1; 5 |
t0_civil_status
| Variable type |
integer |
| Number of missing obs. |
11 (2.84 %) |
| Number of unique values |
5 |
| Median |
2 |
| 1st and 3rd quartiles |
1; 5 |
| Min. and max. |
1; 5 |
t0_couple
| Variable type |
integer |
| Number of missing obs. |
0 (0 %) |
| Number of unique values |
2 |
| Median |
0 |
| 1st and 3rd quartiles |
0; 1 |
| Min. and max. |
0; 1 |
t0_coup_sat
| Variable type |
integer |
| Number of missing obs. |
0 (0 %) |
| Number of unique values |
2 |
| Median |
1 |
| 1st and 3rd quartiles |
1; 1 |
| Min. and max. |
0; 1 |
t0_cohab_marr
| Variable type |
integer |
| Number of missing obs. |
172 (44.44 %) |
| Number of unique values |
2 |
| Median |
5 |
| 1st and 3rd quartiles |
5; 5 |
| Min. and max. |
1; 5 |
t0_coahb_exmar
| Variable type |
integer |
| Number of missing obs. |
268 (69.25 %) |
| Number of unique values |
2 |
| Median |
1 |
| 1st and 3rd quartiles |
1; 5 |
| Min. and max. |
1; 5 |
t0_numb_child
| Variable type |
integer |
| Number of missing obs. |
16 (4.13 %) |
| Number of unique values |
12 |
| Median |
2 |
| 1st and 3rd quartiles |
1; 3 |
| Min. and max. |
0; 12 |
t0_curr_work
| Variable type |
integer |
| Number of missing obs. |
49 (12.66 %) |
| Number of unique values |
2 |
| Median |
5 |
| 1st and 3rd quartiles |
1; 5 |
| Min. and max. |
1; 5 |
t0_work_months
| Variable type |
integer |
| Number of missing obs. |
177 (45.74 %) |
| Number of unique values |
13 |
| Median |
12 |
| 1st and 3rd quartiles |
0; 12 |
| Min. and max. |
0; 18 |
t0_part_time
| Variable type |
integer |
| Number of missing obs. |
145 (37.47 %) |
| Number of unique values |
2 |
| Median |
1 |
| 1st and 3rd quartiles |
1; 2 |
| Min. and max. |
1; 2 |
t0_work_type
| Variable type |
character |
| Number of missing obs. |
0 (0 %) |
| Number of unique values |
222 |
| Mode |
” ” |
- Observed factor levels: " ", "A cargo de un local comercial",
"administrador", "Administrativa", "administrativo en cge",
"adminitrador", "adquisición en una clinica", "Aerógrafo", "Agencia de
aduana", "Agente de tráfico aéreo", "Analista", "Analista de
medicamentos", "analista reclutamiento", "anfitriona mcdonals",
"Artesanías", "artista", "Aseo", "aseo en casa particular", "Aseo en
clínica", "Aseo Industrial", "Asesora de hogar", "Asesora del hogar",
"Asistente administrativo", "Asistente de atención al publico",
"Asistente de Impresión", "Asistente social en hogar de menores",
"Aspectos eléctricos en construcción", "Atiende almacen", "auxiliar de
basura en providencia", "Auxiliar de timbraje", "ayuda emocional
espiritual", "ayudante de portero y aseador", "Bodega de restaurant",
"Bodeguero y copero", "cajera", "Cajera del metro", "Cajera y
Secretaria", "cajero en santa isabel", "call center", "Camionero",
"Cargador", "Carpintero", "carpintero construcción", "Carpintero,
constructor, eléctrico", "carrito de comida", "chofer", "chofer
colectivo", "cobranza y facturas", "Cobranzas en clínica UDD", "cocina",
"cocinera", "colectivero", "comerciante", "Comerciante", "comercio",
"Conductor", "conductor camioneta", "construcción", "Construcción",
"Consultoría familiar", "Contadora", "Contratista", "Contratista de
Construcción", "controladora en supermercado", "Copera en Casino",
"Copero", "Costurera (a pedido).", "Cuida a su nieta remuneradamente",
"cuida niños (sobrinos)", "cuidador", "Cuidados de un adulto mayor",
"cuidados de una menor", "Desarrollo de Aplicaciones", "Despachador de
productos", "Diferentes labores en cocina, aseo y mantención", "Diseño
industrial", "Dueña de casa", "dueño de negocio", "Dueño de un kiosko",
"Ejecutiva de Televenta", "Ejecutivo de Ventas", "electrisista",
"Embaladora", "en el campo", "En la feria", "Encargado de Local
Comercial", "encuadernación", "Especialista Techumbres", "Estilista",
"Estudiante de Ingeniería Eléctrica", "Facturación y Cobranza",
"Farmacéutica", "feria de la granja", "Feriante, maestro albañil",
"finanzas", "funcionaria publica", "Garzón", "garzón discoteque y
soldador independiente", "garzona", "Garzona", "guardia", "guardia de
seguridad", "Guardia de seguridad", "guardia de seguridad y feria
libre", "guardia seguridad", "Independiente", "Independiente (vendedor
vidriería)", "Independiente en la construcción", "independiente-uber",
"informática", "Infornático", "Ingeniera en sistema", "jardinero en
parcelas", "jefa unidad término de causas", "jefatura producción", "Jefe
de obra", "Jefe proyecto sodimac", "jefe rrhh", "Jornal", "Junior",
"junior de imprenta", "Maestro Instalador", "Maestro pintor",
"Manipuladora de alimentos", "manofacturación monarch", "mantención
eléctrica", "mantenimiento", "Mecánico industrial", "mecánico y chofer",
"Misionero religioso", "modista", "Modista", "montaje estructural",
"negocio de comida rápida (maestro de cocina)", "Negocio Ferretería",
"negocio particular", "negocios", "oficina", "operador de bus",
"Operadora en central telefónica", "operaria", "Operaría de producción",
"operaria en producción en Adecco", "operario produccion viña",
"Paisajismo en Puente Alto", "Parvularia", "peluquera canina",
"peluquería y feria", "Peoneta", "Personal de aseo", "Planchado a
domicilio", "Podóloga clínica", "Práctica Profesional Derecho",
"prevencionista de riesgos", "Procesos de selección para cargos de Alta
Administración Públ", "Profesor Biología", "profesor de filosofia",
"Profesora", "Profesora de Educación Especial", "profesora de música",
"profesora sename", "promotor", "promotora oster", "Psicóloga", "puesto
de comida", "radiotaxi", "Recepcionista", "Relativos a la feria",
"reparador de muebles", "repartidor de pan", "Repartidor en moto de
Docuementos de abogados", "reponedora y aseo", "sangucheria y cabañas",
"secretaria", "secretaria en admision", "Seguridad", "Servicios",
"Soldador", "supervisor de construcción", "Supervisora de recintos
deportivos", "Taller de cajones", "taller mecanico", "Taller Mecánico",
"Técnico Bibliotecario", "Tecnico en enfermeria", "Técnico en Párvulo",
"tecnico paramedico", "tecnico parvularia", "técnico parvularia", "teens
en laboratorio de optica", "Telecomunicaciones", "Ténica en párvulos",
"Tens", "terapeuta ocupacional hospital la florida", "Tester de
software", "textil", "trabaja con caballos y haciendo aseo",
"trabajadora de limpieza", "trabajadora en fábrica de molduras",
"Trabajadora social", "Transportista", "Vende helados en su domicilio",
"Vende parches curitas", "Vende ropa a contactos personales",
"vendedor", "Vendedor", "VENDEDOR", "Vendedor de Almacén", "vendedor en
comercio", "vendedor en negocio", "Vendedor farmacia", "vendedora",
"Vendedora", "Vendedora ambulante", "Vendedora de ropa", "Vendedora
independiente", "Vendedora Preunic", "venta de alarmas", "venta de
libros educativos", "Venta de Ropa", "Venta en feria", "Vestuario".
t0_years_educ
| Variable type |
numeric |
| Number of missing obs. |
25 (6.46 %) |
| Number of unique values |
26 |
| Median |
12 |
| 1st and 3rd quartiles |
9; 14 |
| Min. and max. |
0; 23 |
t0_curr_studying
| Variable type |
integer |
| Number of missing obs. |
18 (4.65 %) |
| Number of unique values |
2 |
| Median |
1 |
| 1st and 3rd quartiles |
1; 1 |
| Min. and max. |
1; 5 |
t0_age_finish_stu
| Variable type |
integer |
| Number of missing obs. |
41 (10.59 %) |
| Number of unique values |
40 |
| Median |
18 |
| 1st and 3rd quartiles |
15.25; 21 |
| Min. and max. |
0; 63 |
t0_numb_conditio
- The variable only takes one value: "NA".
t0_curr_medicat
- The variable only takes one (non-missing) value: "1". The variable
contains 57.11 % missing observations.
t0_numb_drugs
- The variable only takes one value: "NA".
t0_n_psych_cond
- The variable only takes one value: "NA".
t0_psych_history
| Variable type |
integer |
| Number of missing obs. |
226 (58.4 %) |
| Number of unique values |
2 |
| Median |
1 |
| 1st and 3rd quartiles |
0; 1 |
| Min. and max. |
0; 1 |
t0_age_psy_con
| Variable type |
integer |
| Number of missing obs. |
290 (74.94 %) |
| Number of unique values |
41 |
| Median |
27 |
| 1st and 3rd quartiles |
14; 40 |
| Min. and max. |
5; 63 |
t0_curr_psych_tx
| Variable type |
integer |
| Number of missing obs. |
229 (59.17 %) |
| Number of unique values |
2 |
| Median |
0 |
| 1st and 3rd quartiles |
0; 0 |
| Min. and max. |
0; 1 |
t0_company
| Variable type |
character |
| Number of missing obs. |
0 (0 %) |
| Number of unique values |
108 |
| Mode |
” ” |
- Observed factor levels: " ", "5066, la granja", "ADT", "Aeropuerto",
"AFP", "Almacen", "alsacia", "aseo en ministerio de pesca", "Aseo
Industrial ISS", "Asistente domiciliaria de adultos mayores", "banco",
"bazar", "bordados industriales cecilia Villagra", "Bravísimo", "casa",
"CEDIN", "chilectra", "Clínica Jurídica UNAB", "codef servicios
integrales", "colegio", "Colegio", "Colegio Municipal", "comercio
ambulante", "Comercio Ambulante", "Comercio Retail", "construcción
casas", "Construcción/ feria", "Constructora", "contratista chilectra",
"demarco", "domicilio", "domicilio personal", "edificio", "empresa",
"Empresa constructora", "Empresa de Aire Acondicionado", "Empresa de
alimentos FRUTI", "empresa de colectivos y en una mecánica automotri",
"Empresa de GPS", "Empresa de transporte", "empresa de turismo y en
departamento de aseo", "Empresa Incova", "empresa multiseguridad",
"Empresa Paisajismo Cordillera", "Empresa que ofrece servicios de aseo",
"empresa transporte transantiago", "En boutique del río y urzua", "en
casa de cuñada", "En su hogar", "Especialistas Homecenter", "Estadio
Español", "Estudios Jurídicos Areyano Donoso", "Fábrica de molduras",
"Fábrica de plasticos", "Farmacia", "Farmacia cruz verde", "fiscalía",
"Fundación integra", "Fundación Paréntesis", "global market", "guardia
de seguridad y feria libre", "heladería Bravissimo", "Hospital Exequiel
González", "Hospital San Juan de Dios", "imprenta", "independiente",
"Independiente", "joy discoteque", "Laboratorio de medicamentos
inyectables", "Lanera chilena", "Leasing del Banco Chile", "liquidadora
(su propia pyme)", "Lo Valledor", "Local de Carnicería", "Mall Plaza
Vespucio", "Mantisa", "medicenter", "minera", "moda", "Municipalidad",
"Municipalidad de Puente Alto", "Negocio familiar", "Negocio Familiar",
"Negocio personal", "negocios familiares", "Obras civiles",
"panificadora", "particular", "Particular", "patroni LTDA", "Pedido para
la Armada de Chile", "penisure", "personal", "Pizzeria", "propio",
"Propio", "RC", "Restaurante", "rheem", "ripley", "seguridad biesco",
"seguros", "Servicio de Impuestos Internos", "tavelli", "testigo de
jehová", "Transporte", "transporte de valores", "vendedor
ambulante".
t0_grad_status
| Variable type |
integer |
| Number of missing obs. |
185 (47.8 %) |
| Number of unique values |
2 |
| Median |
5 |
| 1st and 3rd quartiles |
1; 5 |
| Min. and max. |
1; 5 |
t0_span_native
| Variable type |
integer |
| Number of missing obs. |
185 (47.8 %) |
| Number of unique values |
2 |
| Median |
5 |
| 1st and 3rd quartiles |
5; 5 |
| Min. and max. |
1; 5 |
t0_span_age
| Variable type |
integer |
| Number of missing obs. |
292 (75.45 %) |
| Number of unique values |
7 |
| Median |
2 |
| 1st and 3rd quartiles |
1; 2 |
| Min. and max. |
0; 6 |
t0_pcl_tot
| Variable type |
integer |
| Number of missing obs. |
20 (5.17 %) |
| Number of unique values |
64 |
| Median |
38 |
| 1st and 3rd quartiles |
27; 53 |
| Min. and max. |
17; 85 |
t0_pcl_b
| Variable type |
integer |
| Number of missing obs. |
20 (5.17 %) |
| Number of unique values |
21 |
| Median |
10 |
| 1st and 3rd quartiles |
6; 14 |
| Min. and max. |
5; 25 |
t0_pcl_c
| Variable type |
integer |
| Number of missing obs. |
20 (5.17 %) |
| Number of unique values |
29 |
| Median |
15 |
| 1st and 3rd quartiles |
10; 23 |
| Min. and max. |
7; 35 |
t0_pcl_d
| Variable type |
integer |
| Number of missing obs. |
20 (5.17 %) |
| Number of unique values |
21 |
| Median |
13 |
| 1st and 3rd quartiles |
8; 16.5 |
| Min. and max. |
5; 25 |
t0_bdi
| Variable type |
integer |
| Number of missing obs. |
27 (6.98 %) |
| Number of unique values |
48 |
| Median |
13 |
| 1st and 3rd quartiles |
7; 23 |
| Min. and max. |
0; 60 |
t0_mspss
| Variable type |
integer |
| Number of missing obs. |
179 (46.25 %) |
| Number of unique values |
35 |
| Median |
36 |
| 1st and 3rd quartiles |
29; 42.25 |
| Min. and max. |
12; 48 |
t0_pdi
| Variable type |
integer |
| Number of missing obs. |
183 (47.29 %) |
| Number of unique values |
50 |
| Median |
27 |
| 1st and 3rd quartiles |
17; 36 |
| Min. and max. |
0; 52 |
t0_pdeq
| Variable type |
integer |
| Number of missing obs. |
25 (6.46 %) |
| Number of unique values |
41 |
| Median |
24 |
| 1st and 3rd quartiles |
14; 34 |
| Min. and max. |
10; 50 |
t0_tq
| Variable type |
integer |
| Number of missing obs. |
26 (6.72 %) |
| Number of unique values |
12 |
| Median |
2 |
| 1st and 3rd quartiles |
1; 4 |
| Min. and max. |
0; 16 |
t0_interv_dur
| Variable type |
character |
| Number of missing obs. |
0 (0 %) |
| Number of unique values |
56 |
| Mode |
” ” |
- Observed factor levels: " ", "0:00:00", "0:04:00", "0:05:00",
"0:06:00", "0:07:00", "0:08:00", "0:09:00", "0:10:00", "0:11:00",
"0:12:00", "0:13:00", "0:14:00", "0:15:00", "0:16:00", "0:17:00",
"0:19:00", "0:20:00", "0:21:00", "0:22:00", "0:23:00", "0:24:00",
"0:25:00", "0:26:00", "0:27:00", "0:28:00", "0:29:00", "0:30:00",
"0:32:00", "0:33:00", "0:35:00", "0:36:00", "0:38:00", "0:39:00",
"0:40:00", "0:42:00", "0:43:00", "0:44:00", "0:45:00", "0:47:00",
"0:49:00", "0:50:00", "0:55:00", "0:58:00", "1:00:00", "1:03:00",
"1:08:00", "1:10:00", "1:13:00", "1:19:00", "1:20:00", "1:36:00",
"1:45:00", "2:01:00", "2:49:00", "2:55:00".
t0_interv_distress
| Variable type |
integer |
| Number of missing obs. |
236 (60.98 %) |
| Number of unique values |
2 |
| Median |
0 |
| 1st and 3rd quartiles |
0; 0 |
| Min. and max. |
0; 1 |
t0_type_int_distr
| Variable type |
character |
| Number of missing obs. |
0 (0 %) |
| Number of unique values |
13 |
| Mode |
” ” |
- Observed factor levels: " ", "“como que me agoté” “Co", "”Tiritona
por estar acá", "Algunas respuestas de la", "Ansiedad al completar cu",
"Dificultades para respir", "Dolor de Cabeza durante", "durante el BDI
paciente", "estaba nervioso (el recl", "mucha encuesta, estaba c",
"mucha pregunta y estaba", "Obs: Producto del golpe", "Preguntas de
Muerte de l".
t0_eva_change
| Variable type |
integer |
| Number of missing obs. |
36 (9.3 %) |
| Number of unique values |
8 |
| Median |
9 |
| 1st and 3rd quartiles |
7; 10 |
| Min. and max. |
0; 10 |
t0_step_a
| Variable type |
integer |
| Number of missing obs. |
232 (59.95 %) |
| Number of unique values |
2 |
| Median |
1 |
| 1st and 3rd quartiles |
0; 1 |
| Min. and max. |
0; 1 |
t0_step_b
| Variable type |
integer |
| Number of missing obs. |
236 (60.98 %) |
| Number of unique values |
2 |
| Median |
0 |
| 1st and 3rd quartiles |
0; 1 |
| Min. and max. |
0; 1 |
t0_step_c
| Variable type |
integer |
| Number of missing obs. |
236 (60.98 %) |
| Number of unique values |
2 |
| Median |
0 |
| 1st and 3rd quartiles |
0; 0 |
| Min. and max. |
0; 1 |
t0_step_d
| Variable type |
integer |
| Number of missing obs. |
229 (59.17 %) |
| Number of unique values |
2 |
| Median |
0 |
| 1st and 3rd quartiles |
0; 1 |
| Min. and max. |
0; 1 |
t0_step_e
| Variable type |
integer |
| Number of missing obs. |
229 (59.17 %) |
| Number of unique values |
2 |
| Median |
1 |
| 1st and 3rd quartiles |
1; 1 |
| Min. and max. |
0; 1 |
t1_dx_tept
| Variable type |
integer |
| Number of missing obs. |
236 (60.98 %) |
| Number of unique values |
2 |
| Median |
0 |
| 1st and 3rd quartiles |
0; 1 |
| Min. and max. |
0; 1 |
t1_cidi_tot
| Variable type |
integer |
| Number of missing obs. |
236 (60.98 %) |
| Number of unique values |
18 |
| Median |
7 |
| 1st and 3rd quartiles |
4; 11 |
| Min. and max. |
0; 17 |
t1_follow_cidi
| Variable type |
integer |
| Number of missing obs. |
0 (0 %) |
| Number of unique values |
6 |
| Median |
4 |
| 1st and 3rd quartiles |
2; 7 |
| Min. and max. |
1; 7 |
t1_pcl_tot
| Variable type |
integer |
| Number of missing obs. |
200 (51.68 %) |
| Number of unique values |
54 |
| Median |
35 |
| 1st and 3rd quartiles |
25; 52 |
| Min. and max. |
17; 81 |
t1_follow_pcl
| Variable type |
integer |
| Number of missing obs. |
0 (0 %) |
| Number of unique values |
6 |
| Median |
4 |
| 1st and 3rd quartiles |
2; 4 |
| Min. and max. |
1; 8 |
t1_fol_pcl_dum
| Variable type |
integer |
| Number of missing obs. |
0 (0 %) |
| Number of unique values |
4 |
| Median |
2 |
| 1st and 3rd quartiles |
0; 3 |
| Min. and max. |
0; 3 |
t1_bdi_tot
| Variable type |
integer |
| Number of missing obs. |
199 (51.42 %) |
| Number of unique values |
40 |
| Median |
12 |
| 1st and 3rd quartiles |
6; 21 |
| Min. and max. |
0; 41 |
t1_dif_bdi
| Variable type |
integer |
| Number of missing obs. |
209 (54.01 %) |
| Number of unique values |
38 |
| Median |
0 |
| 1st and 3rd quartiles |
-6; 3 |
| Min. and max. |
-25; 26 |
t1_follow_bdi
| Variable type |
integer |
| Number of missing obs. |
0 (0 %) |
| Number of unique values |
5 |
| Median |
4 |
| 1st and 3rd quartiles |
2; 4 |
| Min. and max. |
1; 6 |
t1_depr_dx
| Variable type |
integer |
| Number of missing obs. |
322 (83.2 %) |
| Number of unique values |
2 |
| Median |
0 |
| 1st and 3rd quartiles |
0; 1 |
| Min. and max. |
0; 1 |
t1_ham
| Variable type |
integer |
| Number of missing obs. |
322 (83.2 %) |
| Number of unique values |
26 |
| Median |
13 |
| 1st and 3rd quartiles |
7; 19 |
| Min. and max. |
1; 27 |
t1_follow_ham
| Variable type |
integer |
| Number of missing obs. |
0 (0 %) |
| Number of unique values |
5 |
| Median |
4 |
| 1st and 3rd quartiles |
4; 7 |
| Min. and max. |
1; 7 |
t1_follow_qnre
| Variable type |
integer |
| Number of missing obs. |
0 (0 %) |
| Number of unique values |
5 |
| Median |
7 |
| 1st and 3rd quartiles |
2; 7 |
| Min. and max. |
2; 8 |
t1_pcl_b
| Variable type |
integer |
| Number of missing obs. |
200 (51.68 %) |
| Number of unique values |
20 |
| Median |
10 |
| 1st and 3rd quartiles |
7; 15 |
| Min. and max. |
5; 24 |
t1_pcl_c
| Variable type |
integer |
| Number of missing obs. |
200 (51.68 %) |
| Number of unique values |
27 |
| Median |
14 |
| 1st and 3rd quartiles |
9; 20.5 |
| Min. and max. |
7; 34 |
t1_pcl_d
| Variable type |
integer |
| Number of missing obs. |
200 (51.68 %) |
| Number of unique values |
21 |
| Median |
12 |
| 1st and 3rd quartiles |
7; 16.5 |
| Min. and max. |
5; 25 |
t1_subst_incr
| Variable type |
integer |
| Number of missing obs. |
267 (68.99 %) |
| Number of unique values |
2 |
| Median |
0 |
| 1st and 3rd quartiles |
0; 0 |
| Min. and max. |
0; 1 |
t1_conflicts
| Variable type |
integer |
| Number of missing obs. |
267 (68.99 %) |
| Number of unique values |
2 |
| Median |
0 |
| 1st and 3rd quartiles |
0; 0 |
| Min. and max. |
0; 1 |
t1_docs_visit
| Variable type |
integer |
| Number of missing obs. |
267 (68.99 %) |
| Number of unique values |
2 |
| Median |
0 |
| 1st and 3rd quartiles |
0; 0 |
| Min. and max. |
0; 1 |
t1_meds
| Variable type |
integer |
| Number of missing obs. |
267 (68.99 %) |
| Number of unique values |
2 |
| Median |
0 |
| 1st and 3rd quartiles |
0; 1 |
| Min. and max. |
0; 1 |
t1_counselling
| Variable type |
integer |
| Number of missing obs. |
267 (68.99 %) |
| Number of unique values |
2 |
| Median |
0 |
| 1st and 3rd quartiles |
0; 0 |
| Min. and max. |
0; 1 |
t1_alternative
| Variable type |
integer |
| Number of missing obs. |
267 (68.99 %) |
| Number of unique values |
2 |
| Median |
0 |
| 1st and 3rd quartiles |
0; 0 |
| Min. and max. |
0; 1 |
t1_sick_leave
| Variable type |
integer |
| Number of missing obs. |
267 (68.99 %) |
| Number of unique values |
2 |
| Median |
0 |
| 1st and 3rd quartiles |
0; 0 |
| Min. and max. |
0; 1 |
t1_adv_effects
| Variable type |
integer |
| Number of missing obs. |
267 (68.99 %) |
| Number of unique values |
2 |
| Median |
0 |
| 1st and 3rd quartiles |
0; 0 |
| Min. and max. |
0; 1 |
t2_follow_cidi
- The variable only takes one (non-missing) value: "7". The variable
contains 0 % missing observations.
t2_pcl_tot
| Variable type |
integer |
| Number of missing obs. |
307 (79.33 %) |
| Number of unique values |
35 |
| Median |
25.5 |
| 1st and 3rd quartiles |
20; 40 |
| Min. and max. |
17; 69 |
t2_follow_pcl
| Variable type |
integer |
| Number of missing obs. |
0 (0 %) |
| Number of unique values |
5 |
| Median |
7 |
| 1st and 3rd quartiles |
4; 7 |
| Min. and max. |
2; 8 |
t2_bdi_tot
| Variable type |
integer |
| Number of missing obs. |
308 (79.59 %) |
| Number of unique values |
30 |
| Median |
8 |
| 1st and 3rd quartiles |
3; 17.5 |
| Min. and max. |
0; 46 |
t2_dif_bdi
| Variable type |
integer |
| Number of missing obs. |
313 (80.88 %) |
| Number of unique values |
32 |
| Median |
-2 |
| 1st and 3rd quartiles |
-6.75; 3 |
| Min. and max. |
-45; 42 |
t2_follow_bdi
| Variable type |
integer |
| Number of missing obs. |
0 (0 %) |
| Number of unique values |
5 |
| Median |
7 |
| 1st and 3rd quartiles |
4; 7 |
| Min. and max. |
2; 8 |
t2_follow_ham
- The variable only takes one (non-missing) value: "7". The variable
contains 0 % missing observations.
t2_follow_qnre
| Variable type |
integer |
| Number of missing obs. |
0 (0 %) |
| Number of unique values |
5 |
| Median |
7 |
| 1st and 3rd quartiles |
4; 7 |
| Min. and max. |
2; 8 |
t2_pcl_b
| Variable type |
integer |
| Number of missing obs. |
307 (79.33 %) |
| Number of unique values |
15 |
| Median |
7 |
| 1st and 3rd quartiles |
6; 10.25 |
| Min. and max. |
5; 25 |
t2_pcl_c
| Variable type |
integer |
| Number of missing obs. |
307 (79.33 %) |
| Number of unique values |
20 |
| Median |
10 |
| 1st and 3rd quartiles |
7; 15.25 |
| Min. and max. |
7; 32 |
t2_pcl_d
| Variable type |
integer |
| Number of missing obs. |
307 (79.33 %) |
| Number of unique values |
17 |
| Median |
8 |
| 1st and 3rd quartiles |
5; 13.25 |
| Min. and max. |
5; 24 |
t2_subst_incr
| Variable type |
integer |
| Number of missing obs. |
307 (79.33 %) |
| Number of unique values |
2 |
| Median |
0 |
| 1st and 3rd quartiles |
0; 0 |
| Min. and max. |
0; 1 |
t2_conflicts
| Variable type |
integer |
| Number of missing obs. |
307 (79.33 %) |
| Number of unique values |
2 |
| Median |
0 |
| 1st and 3rd quartiles |
0; 1 |
| Min. and max. |
0; 1 |
t2_docs_visit
| Variable type |
integer |
| Number of missing obs. |
307 (79.33 %) |
| Number of unique values |
2 |
| Median |
0 |
| 1st and 3rd quartiles |
0; 0 |
| Min. and max. |
0; 1 |
t2_meds
| Variable type |
integer |
| Number of missing obs. |
307 (79.33 %) |
| Number of unique values |
2 |
| Median |
0 |
| 1st and 3rd quartiles |
0; 1 |
| Min. and max. |
0; 1 |
t2_counselling
| Variable type |
integer |
| Number of missing obs. |
307 (79.33 %) |
| Number of unique values |
2 |
| Median |
0 |
| 1st and 3rd quartiles |
0; 0 |
| Min. and max. |
0; 1 |
t2_alternative
| Variable type |
integer |
| Number of missing obs. |
307 (79.33 %) |
| Number of unique values |
2 |
| Median |
0 |
| 1st and 3rd quartiles |
0; 0 |
| Min. and max. |
0; 1 |
t2_sick_leave
| Variable type |
integer |
| Number of missing obs. |
307 (79.33 %) |
| Number of unique values |
2 |
| Median |
0 |
| 1st and 3rd quartiles |
0; 0 |
| Min. and max. |
0; 1 |
t2_adv_effects
| Variable type |
integer |
| Number of missing obs. |
307 (79.33 %) |
| Number of unique values |
2 |
| Median |
0 |
| 1st and 3rd quartiles |
0; 0 |
| Min. and max. |
0; 1 |
t3_follow_cidi
- The variable only takes one (non-missing) value: "7". The variable
contains 0 % missing observations.
t3_pcl_tot
| Variable type |
integer |
| Number of missing obs. |
296 (76.49 %) |
| Number of unique values |
37 |
| Median |
29 |
| 1st and 3rd quartiles |
23; 44 |
| Min. and max. |
17; 72 |
t3_follow_pcl
| Variable type |
integer |
| Number of missing obs. |
0 (0 %) |
| Number of unique values |
5 |
| Median |
5 |
| 1st and 3rd quartiles |
4; 7 |
| Min. and max. |
2; 7 |
t3_follow_bdi
- The variable only takes one (non-missing) value: "7". The variable
contains 0 % missing observations.
t3_follow_ham
- The variable only takes one (non-missing) value: "7". The variable
contains 0 % missing observations.
t3_follow_qnre
- The variable only takes one value: "NA".
filter_.
| Variable type |
integer |
| Number of missing obs. |
5 (1.29 %) |
| Number of unique values |
2 |
| Median |
1 |
| 1st and 3rd quartiles |
1; 1 |
| Min. and max. |
0; 1 |
t1_coop
| Variable type |
integer |
| Number of missing obs. |
0 (0 %) |
| Number of unique values |
2 |
| Median |
0 |
| 1st and 3rd quartiles |
0; 1 |
| Min. and max. |
0; 1 |
Report generation information:
Created by: Sebastián Opazo Marchetti (username:
sebastianopazomarchetti).
Report creation time: Sun May 28 2023 14:33:45
Report was run from directory:
/Users/sebastianopazomarchetti/Desktop/PTSD_dissociation
dataMaid v1.4.1 [Pkg: 2021-10-08 from CRAN (R 4.1.1)]
R version 4.1.3 (2022-03-10).
Platform: aarch64-apple-darwin20 (64-bit)(macOS 13.2.1).
Function call:
dataMaid::makeDataReport(data = db, mode = c("summarize", "visualize", "check"), smartNum = FALSE, file = "codebook.Rmd", checks = list( character = "showAllFactorLevels", factor = "showAllFactorLevels", labelled = "showAllFactorLevels", haven_labelled = "showAllFactorLevels", numeric = NULL, integer = NULL, logical = NULL, Date = NULL), listChecks = FALSE, maxProbVals = Inf, codebook = TRUE, reportTitle = "Codebook for consolidated data", openBrowser = FALSE)